Triple

T18016656
Position Surface form Disambiguated ID Type / Status
Subject torch.utils.data.Dataset E431012 entity
Predicate introducedBy P513 FINISHED
Object PyTorch data API — NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PyTorch data API | Statement: [torch.utils.data.Dataset, introducedBy, PyTorch data API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PyTorch data API
Context triple: [torch.utils.data.Dataset, introducedBy, PyTorch data API]
  • A. tf.data API
    The tf.data API is a TensorFlow library for building efficient, scalable input pipelines that load, preprocess, and feed data into machine learning models.
  • B. torch.utils.data.Dataset chosen
    `torch.utils.data.Dataset` is a core PyTorch abstraction that defines the interface for custom data loading, enabling indexed access to samples and integration with data loaders for efficient batching and shuffling.
  • C. torchvision (ecosystem)
    torchvision is a PyTorch-based computer vision library providing datasets, model architectures, and image transformations commonly used for training and evaluating deep learning models.
  • D. PyTorch
    PyTorch is an open-source deep learning framework widely used for building and training neural networks, known for its dynamic computation graph and strong support for research and production in Python.
  • E. TensorFlow Datasets
    TensorFlow Datasets is a collection of ready-to-use, standardized datasets for machine learning and deep learning workflows in TensorFlow and other frameworks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9be5d0c819097e006f32d98753a completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.